A Protocol for the Effective Utilization of Energy in Wireless Sensor Network

  • Authors

    • Santosh Anand
    • Pillai Atulya Radhakrishna
    2018-06-21
    https://doi.org/10.14419/ijet.v7i3.3.14491
  • AODV, DSDV, DSR, RREQ, WSN.
  • Abstract

    In current technology Adhoc network is most commonly used in communication network. Major parts of the Adhoc network devices are based on the sensor nodes. Sensor devices operated on the battery so energy is vital constraint. Effective Utilization of the energy of the sensor nodes and sensor networks to the full extent is highly impracticable. Optimization of the network root and the load balancing in coverage helps to maximize the lifetime of the sensor network considerably. The research carry out on sensor network, deployment model is proposed which essentially finds the optimized roots with the help of  neighbour discovery algorithm which find the neighbour and non neighbour nodes and analysis the load of the network based on Packet Retrieval in RREQ, throughput, average energy consumption, packet delivery ratio and packet drop.

     

  • References

    1. [1] Qianqian Yang, Shibo He, Junkun Li, Jiming Chen and Youxian Sun, “Energy-Efficient Probabilistic Area Coverage in Wireless Sensor Networksâ€, IEEE Transactions on Vehicular Technology, vol. 64, no.1, pp. 367-377, January 2015

      [2] JieTian, Xiaoyuan Liang, Tan Yan, Mahesh Kumar Somashekar,Guiling Wang, and Cesar Bandera, “A Novel Set Division Algorithm for Joint Scheduling and Routing in Wireless Sensor Networksâ€, Springer Wireless Networks, vol. 21, Issue 5, pp. 1443-1455, July 2015.

      [3] R. Kacimi, R. Dhaou and A.-L.Beylot, “Load balancing techniques for lifetime maximizing in wireless sensor networksâ€, Ad Hoc Networks Journal, vol. 11, no. 8, pp. 2172-2186, 2013.

      [4] S. K. A. Imon, A. Khan, M. D. Francesco and S. K. Das, “RaSMaLai: A Randomized Switching Algorithm for Maximizing Lifetime in Treebased Wireless Sensor Networksâ€, Proc. IEEE INFOCOM, pp. 2913-2921, 2013.

      [5] A. Jarry, P. Leone, S. E. Nikoletseas and J. D. P. Rolim, “Optimal data gathering paths and energy-balance mechanisms in wireless networksâ€, Ad Hoc Networks Journal, vol. 9, no.6, pp.1036-1048, 2011.

      [6] P. Chatterjee and N. Das, “Distributed Data Gathering with GradedNode Distribution in Sensor Networks to Maximize Lifetimeâ€, Proc. of the 25th International Conference on AdvancedInformationNetworking and Applications (AINA), IEEE, pp. 435-442 Singapore, March 2011.

      [7] X. Zhang, Z. D. Wu, “A Non-Uniform Node Deployment Approachfor Event Detection Sensor Networksâ€, IEEE 29th International Performance Computing and Communications Conference (IPCCC) 2010, pp. 42 - 49.

      [8] A. Chamam, “On the Planning of Wireless Sensor Networks: Energy-Efficient Clustering under the Joint Routing and Coverage Constraintâ€, IEEE Transactions on Mobile Computing, vol. 8, no. 8, pp.1077-1086, August 2009.

      [9] X. Wu, G. Chen and S. K. Das, “Avoiding Energy Holes in Wireless Sensor Networks with Nonuniform Node Distributionâ€, IEEE Transactions on parallel and distributed systems, vol. 19, no. 5,pp.710-720, May 2008.

      [10] J.C. Dagher, M.W. Marcellin and M.A. Neifeld, “A theory for maximizing the lifetime of sensor networksâ€, IEEE Transactions on Communications,vol. 55, no. 2, pp.323-332, 2007.

      [11] P. Casari, M. Nati, C. Petrioli and M. Zorzi, “ALBA: An Adaptive Load-Balanced Algorithm For Geographic Forwarding in Wireless Sensor Networksâ€, IEEE MILCOM 2006, pp. 1-9.

      [12] A. Jarry, P. Leone, O. Powell and J. Rolim, “An optimal data propagation algorithm for maximizing the lifespan of sensor networks, Proc.IEEE International Conference on Distributed Computing in Sensor Systemsâ€, pp 405-421, June 2006, San Francisco, USA.

      [13] J. Li and P. Mohapatra, “An Analytical Model for the Energy Hole Problem in Many-to-One Sensor Networksâ€, Proc. 62nd IEEE Vehicular Technology Conference, pp. 2721-2725, 2005.

      [14] A. Giridhar and P.R. Kumar, “Maximizing the functional lifetime of sensor networksâ€, Proc. 4th international symposium on Information processing in sensor networks, pp. 5-12, 2005, Los Angeles, California.

      [15] S. Manishankar, C. R. Srinithi and D. Joseph, "Comprehensive study of wireless networks QOS parameters and comparing their performance based on real time scenario," 2017 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), Coimbatore, India, 2017, pp. 1-6.

      [16] Mukhopadhyay, Adwitiya, S. Raghunath, and M. Kruti."Feasibility and performance evaluation of VANET techniques to enhance real-time emergency healthcare services." Advances in Computing, Communications andInformatics (ICACCI), 2016 International Conference on. IEEE, 2016.

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  • How to Cite

    Anand, S., & Radhakrishna, P. A. (2018). A Protocol for the Effective Utilization of Energy in Wireless Sensor Network. International Journal of Engineering & Technology, 7(3.3), 82-86. https://doi.org/10.14419/ijet.v7i3.3.14491

    Received date: 2018-06-21

    Accepted date: 2018-06-21

    Published date: 2018-06-21